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Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Using Phylogenetic Analysis to Investigate Eukaryotic Gene Origin

Published on: August 14, 2018

Efficient Bayesian Species Tree Inference under the Multispecies Coalescent.

Bruce Rannala¹, Ziheng Yang²

¹Department of Evolution and Ecology, University of California, Davis, CA 95616, USA.

Systematic Biology

|January 6, 2017

Summary

This summary is machine-generated.

A new Bayesian method improves species tree inference using the multispecies coalescent model with efficient MCMC algorithms like SPR and node-slider, showing excellent statistical performance.

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Area of Science:

Computational Biology
Phylogenetics
Evolutionary Biology

Background:

Species phylogeny inference is crucial for understanding evolutionary history.
The multispecies coalescent (MSC) model accounts for gene tree discordance.
Markov chain Monte Carlo (MCMC) algorithms are used for tree space exploration.

Purpose of the Study:

To develop a Bayesian method for species phylogeny inference under the MSC model.
To enhance MCMC mixing properties with efficient algorithms.
To integrate gene trees and account for topological and branch length uncertainty.

Main Methods:

Developed a Bayesian method incorporating the multispecies coalescent (MSC) model.
Implemented Subtree Pruning and Regrafting (SPR) and node-slider MCMC proposals for efficient species tree exploration.
Integrated gene trees to handle uncertainty in topology and branch lengths.

Main Results:

The new method demonstrated excellent statistical performance in simulations, accurately inferring species trees with 10 loci.
Bayesian coalescent-based method proved statistically more efficient than heuristic methods.
The implementation was computationally more efficient than alternative full-likelihood methods under the MSC.

Conclusions:

The developed Bayesian method provides a statistically and computationally efficient approach for species tree inference.
The method accurately infers species phylogenies, especially with sufficient genetic loci.
Analysis of real datasets revealed divergent evolutionary dynamics between nuclear and mitochondrial loci.